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Paper: |
DER SNR: A Simple & General Spectroscopic Signal-to-Noise Measurement Algorithm |
Volume: |
394, Astronomical Data Analysis Software and Systems (ADASS) XVII |
Page: |
505 |
Authors: |
Stoehr, F.; White, R.; Smith, M.; Kamp, I.; Thompson, R.; Durand, D.; Freudling, W.; Fraquelli, D.; Haase, J.; Hook, R.; Kimball, T.; Kü mmel, M.; Levay, K.; Lombardi, M.; Micol, A.; Rogers, T. |
Abstract: |
The signal-to-noise ratio (SNR) of a spectrum is a very useful quality indicator and widely used in astronomy. With the advent of large spectral databases covering many varieties of spectrographs, for example in the context of the Virtual Observatory (VO), a need arose for a common algorithm to estimate SNRs that allows cross comparison between different instruments. We propose such an algorithm. It is in the process of becoming the recommended SNR estimation algorithm in the IVOA Spectrum Data Model. The resulting SNR estimates can be specified in FITS headers and VOTables alongside the existing SNR estimations that most data providers already compute. |
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